@inproceedings{8a4d788e06a14a5bb5719d26bb304970,
title = "TURIN: A coding system for Trust in hUman Robot INteraction",
abstract = "A natural human-robot interaction (HRI) relies on the robot's capacity to understand the users' behaviors through psychological and sociological concepts. Users expect the robot to act in a realistic manner to create a more human-like relationship. In this context, trust is an essential concept as it determines the effectiveness of the system and its acceptance by users. The understanding of trust dynamics in HRI is still low and systematic studies of multimodal trust-related behaviors in HRI are relatively rare given the rising popularity of the topic. To bridge this gap, in this paper we present a novel coding system TURIN (Trust in hUman Robot INteraction) to study trust in HRI. A preliminary assessment of the coding system was carried out on the Vernissage dataset. Results show a significant agreement between expert annotators.",
keywords = "HRI, coding system, trust",
author = "Marc Hulcelle and Giovanna Varni and Nicolas Rollet and Chloe Clavel",
note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 9th International Conference on Affective Computing and Intelligent Interaction, ACII 2021 ; Conference date: 28-09-2021 Through 01-10-2021",
year = "2021",
month = jan,
day = "1",
doi = "10.1109/ACII52823.2021.9597448",
language = "English",
series = "2021 9th International Conference on Affective Computing and Intelligent Interaction, ACII 2021",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2021 9th International Conference on Affective Computing and Intelligent Interaction, ACII 2021",
}